PREDICTION OF THE ELECTRICAL RESISTIVITY OF SOILS IN TROPICAL AREAS BASED ON METEOROLOGICAL VARIABLES USING GENETIC ALGORITHMS AND FUZZY INFERENCE SYSTEM APPROACHES
The safety of property and people against risks and electrical faults is essentially ensured by an earthing system. The essential element of the latter is the electrical resistivity of the soil. This is influenced by several factors. In this work, we used the georeference coordinates of the point (A), state of nature the day before the measurement (B), state of nature on the day of the measurement (C), and the ambient temperature at the measurement point (D). 9513 in-situ measurement samples on selected sites in Lomé constitute the database.